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E-raamat: Advances in Metal Forming: Expert System for Metal Forming

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Advances in Metal Forming: Expert System for Metal FormingSuurem pilt
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This comprehensive book offers a clear account of the theory and applications of advanced metal forming. It provides a detailed discussion of specific forming processes, such as deep drawing, rolling, bending extrusion and stamping. The author highlights recent developments of metal forming technologies and explains sound, new and powerful expert system techniques for solving advanced engineering problems in metal forming. In addition, the basics of expert systems, their importance and applications to metal forming processes, computer-aided analysis of metalworking processes, formability analysis, mathematical modeling and case studies of individual processes are presented.

Fundamental of Metalworking.- Sheet Deformation Processes.- Expert Systems And Artificial Intelligence.- Analysis of the Stamping Design Process.- Artificial Neural Network for Sheet Metal Forming.- Hybrid Intelligent System for Stamping Process.- Advances in Metal Forming Processes.- Fundamentals of Hydroforming.- Hydroforming for Enhanced Formability.- Fundamentals of Tailor Welded Blanks.
1 Introduction
1(10)
1.1 Advances in Metal Forming
1(1)
1.2 Deep Drawing Process
2(2)
1.2.1 Influencing Factors
3(1)
1.3 Development in Rolling
4(1)
1.3.1 Classification of Rolling Processes
5(1)
1.4 Advancement in Extrusion Process
5(2)
1.5 An Overview of Bending Process
7(1)
1.6 Organisation of the Book
8(3)
Reference
10(1)
2 Enhancement in Expert System
11(20)
2.1 Expert Systems and Its Applications
11(4)
2.2 Deep Drawing Process
15(2)
2.3 Recent Trends in Rolling
17(2)
2.4 Development in Extrusion Process
19(2)
2.5 Review of Bending Process
21(1)
2.6 Need of the Expert System
22(2)
2.7 Objectives
24(7)
References
24(7)
3 Fundamentals of Expert System
31(10)
3.1 Introduction
31(4)
3.1.1 Web-Based Expert System
32(1)
3.1.2 Knowledge Based Expert Systems
33(1)
3.1.3 Limitations of Expert Systems
34(1)
3.1.4 Proposed Hierarchical Structure
34(1)
3.2 Background of Web Based Expert System
35(6)
3.2.1 Expert Systems
35(1)
3.2.2 Rationale for a Web-Based System
36(1)
3.2.3 Web Manufacturing
37(1)
3.2.4 System Architecture
37(1)
3.2.5 Active Platform Concept
38(1)
3.2.6 Active Server, Active Client and ActiveX Active Client
39(2)
4 Design of Web Based Expert System
41(16)
4.1 Introduction
41(1)
4.2 Java Servlets
41(1)
4.3 Java Servlet Framework
42(1)
4.3.1 HTTP Request
42(1)
4.3.2 HTTP Response
43(1)
4.4 Application Logic and Content Generation
43(1)
4.5 Session Tracking and State Management
44(1)
4.6 Web Based Expert System Development Issues
44(1)
4.6.1 Servlet Management
44(1)
4.7 Architecture of Expert System
45(2)
4.7.1 Single-Tier Architecture
45(1)
4.7.2 Two-Tier Architecture
46(1)
4.7.3 Three-Tier Architecture
46(1)
4.8 Role of Servlets
47(3)
4.8.1 Databases
48(1)
4.8.2 Application Logic
48(2)
4.9 Basics of Web Based Expert System
50(3)
4.9.1 Basic Terms and Concepts
50(1)
4.9.2 Web Browser
50(1)
4.9.3 The Web Server
51(1)
4.9.4 Internet Protocols
51(1)
4.9.5 Uniform Resource Locators
51(1)
4.9.6 Hypertext Markup Language and Hyperlinks
52(1)
4.9.7 Extension to Standard Web Browser Functionality
52(1)
4.10 Building of Web Based Expert System
53(4)
4.10.1 Tools Selection
53(4)
5 Implementation of Web Based Expert System for Deep Drawing Process
57(10)
5.1 Introduction
57(1)
5.2 Shape Classified Geometries
57(6)
5.2.1 Deep Drawing Process
58(1)
5.2.2 Blank Size
59(3)
5.2.3 Draw Ratio
62(1)
5.2.4 Radius of Draw Dies
63(1)
5.2.5 Punch Radius
63(1)
5.2.6 Draw Clearance
63(1)
5.3 Formulation of Rules for Deep Drawing Process
63(4)
5.3.1 Failures in the Deep Drawing
64(3)
6 Case Studies and Discussion
67(8)
6.1 Introduction
67(1)
6.2 Prediction of Forming Parameters in Deep Drawing Process
67(8)
7 Summary and Future Scope
75(6)
7.1 Summary
76(1)
7.2 Knowledge Based Expert System
76(1)
7.3 Limitation of Expert Systems
77(1)
7.4 Knowledge Acquisition
78(1)
7.5 Future Research Direction
79(2)
Appendix A 81(6)
Appendix B 87(28)
Index 115
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